Methods Inf Med 1989; 28(03): 133-141
DOI: 10.1055/s-0038-1635563
Original Article
Schattauer GmbH

WAREL; A System for Retrieval of Clinical Data Considering the Course of Diseases

W. G. Dorda
1   Department of Medical Computer Science University of Vienna Vienna, Austria
› Author Affiliations
Further Information

Publication History

Publication Date:
14 February 2018 (online)

Abstract:

Medical research requires a general survey on patients’ records in order to recognize medical risk factors for different groups of patients. A clinical data bank with a retrieval system for specific groups of patients could assist medical research.

The requirements for an evaluation system of clinical data banks are demonstrated. Stress is laid on the problems of selecting a group of patients concerning the course of their diseases. The retrieval system “WAREL” - WAREL stands for Wiener Allgemeines Relationen-Schema (Vienna General Relational System) - offers a possible solution to these problems. Synchronization operators allow to specify the desired sequence of single events within the course of an illness. In order to define the requested course of illness not only units of time (e. g., hours or days) can be used but also individual time units (e. g., length of individual illness or pregnancy).

 
  • REFERENCES

  • 1 Grabner G. ed WAMIS – Wiener Allgemeines Medizinisches Informations-System. . Berlin: Springer-Verlag; 1985
  • 2 Dorda W, Haidl B. Sachs R Processing Medical Natural Language Data by the System WAREL. Meth Inform Med 1988; 27: 67-72.
  • 3 Laminger B, Sachs P, Dorda W. A documentation and retrieval system for medical natural language data. In Serio A, O’Moore R, Tardine A, Roger FH. ed Medical Informatics Europe ‘87. Rome: 1987: 552-7.
  • 4 Chamberlin DD, Boyce RF. SEQUEL: A structured English query language. In: Proc ACM-SIGFIDET. Ann Arbor Mich. 1974
  • 5 Klonk J, Sauter K. Erfahrungen mit dem Einsatz einer relationalen DB-Abfragesprache. Angewandte Informatik. 1979: 525-32.
  • 6 Bontempo CJ. Feature Analysis of Query-by-Example. In Schmidt JW, Brodie ML. ed Relational Database Systems – Analysis and Comparison . Berlin: Springer Verlag; 1983: 409-37.
  • 7 Tagg RM. Query Languages. Database J 1981; 11: 7-15.
  • 8 Morgan MM, Beaman PD, Shusman DJ, Hupp JA, Zielstorff RD, Barnett GO. Medical query language. Proceedings 5th Annual Symposium on Comp Appl Med Care . Washington: 1981: 322-5.
  • 9 Schmid S. Medizinische Auswertungssysteme. Theoretischer Abriß und Bewertungs-versuch vorhandener Systeme. Thesis University of Heidelberg-Fachhochschule, Heilbronn. 1984
  • 10 Hoelzel D. Auftragsformulierung und Auftragsabwicklung in einem answer-tungsorientierten Datenbanksystem unter Berücksichtigung zeitlicher Verläufe. In Selbmann HK. ed Alternativen medizinischer Datenverarbeitung.. München; 1976
  • 11 Bernauer J, Rading M, Tusch G, Reichertz PL, Grubernatis G, Pichlmayr R. Case Description and Case Retrieval on Time-Oriented Patient Data. In Rienhoff O, Piccolo U, Schneider B. ed Expert Systems and Decision Support in Medicine . Berlin: Springer-Verlag; 1988: 308-13.
  • 12 Rading M. Ein Operationales Modell zum Beschreiben und Erkennen von komplexen Ereignissen in zeitabhängigen Beobachtungen am Beispiel von klinischen Verlaufsdaten nach Lebertransplantation. Thesis, Mathematical Faculty, University of Hannover. 1988
  • 13 Blum RL. Discovery and representation of causal relationship from a large time-oriented clinical database: the RX-project. Lecture Notes in Medical Informatics Vol. 19. Berlin: Springer-Verlag; 1982
  • 14 Walker MG, Blum RL. Towards Automated Discovery from Clinical Databases: The RADIX Project. In Salamon R, Blum B, Jorgensen M. ed Medinfo ‘86. Amsterdam: Elsevier Science Publishers; 1986: 32-6.
  • 15 Downs SM, Walker MG, Blum RL. Automated Summerization of On-Line Medical Records. In Salamon R, Blum B, Jörgensen M. ed Medinfo ‘86. Amsterdam: Elsevier Science Publishers; 1986: 800-4.
  • 16 Abel U, Berger J. Ein Dialogsystem zur Aufbereitung klinischer Verlaufsdaten. Statist Softw Newsl 1983; 9: 66-70.
  • 17 Dorda W, Kogler W. WAMAS – Statistische Auswertung einer patientenorientierten Datenbank. Statist Softw Newsl 1977; 3: 54-8.
  • 18 Dorda W, Laminger B, Reichetzeder CH, Sachs P. Computereinsatz zur Analyse medizinischer Daten – die Auswertungssysteme WAMAS und WAMASTAT. In Grabner G. ed WAMIS – Wiener Allgemeines Medizinisches Informations-System. Berlin: Springer-Verlag; 1985: 251-91.
  • 19 Kahn MG, Fagan LM, Shortliffe EH. Context-Specific Interpretation of Patient Records for a Therapy Advice System. In Salamon R, Blum B, Jörgensen M. ed Medinfo ‘86. Amsterdam: Elsevier Science Publishers; 1986: 175-9.
  • 20 Kubale R, Schmidt FW. Ergänzende Programme zur Dokumentation und Auswertung von Krankheitsverläufen. Statist Softw Newsl 1982; 8: 21-6.
  • 21 Wolf W, Dorda W, Sachs P, Graber E. WAMAS: Online evaluation of a medical data-base under consideration of Time-relations. In Begon F. ed AWAMIS-Annals World Ass Med Inform . Poitiers: University Press; 1981: 231-5.
  • 22 McDermott DV. A temporal logic for reasoning about processes and plans. Cogn Sci 1982; 6: 101-55.
  • 23 Allen JF. Maintaining knowledge about temporal intervals. Comm ACM 1983; 26: 832-43.
  • 24 Allen JF. Towards a general theory of action and time. Artif Intell 1987; 23: 123-54.
  • 25 Shoham Y. Temporal logics in AI: semantical and ontological considerations. Artif Intell 1987; 33: 89-104.
  • 26 Ladkin P. Time Representation: A Taxonomy of Interval Relations. Proceedings of the AAAI-S6. Philadelphia: 1986: 360-6.